BDWAI London Conference 2022

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Talent pooling: When to hire data scientists vs. when to train?

03 Mar 2022
BIG DATA & AI WORLD Theatre 1
Human Factors

Firms have competed ferociously for data science talent over the past decade, with skilled professionals commanding high salaries. This means many firms have struggled to find or hold onto the kind of skilled employees they need. In response, many are opting to retrain or upskill technically minded staff to take on more data analytics, management and processing roles. While internal hiring can be helpful, it’s not always appropriate, especially at early stages of a Big Data project. This panel session will explore this issue so you can understand:

• Whether you actually need a data scientist or not
• When hiring consultants is the right option
• How to hire analytics professionals internally
• Overview of training options available

Chairperson
Harvey Lewis, Associate Partner & Chief Data Scientist - EY
Speakers
Andrew Mott, Lead Solution Architect, Data Mesh - Starburst Data
Richie Ramsden, Technical Director - The National Innovation Centre for Data
Mary O'Callaghan, Director of Technology Engagement - British Heart Foundation

2022 Sponsors

Platinum Sponsor

  • Neo4j
  • Mongo DB
  • Seldon

 

Gold Sponsor

  • Softserve
  • Domo
  • WhereScape
  • Treasure Data
  • H2O
  • Snowplow Analytics

 

Silver Sponsor

  • Altair
  • Influx Data
  • Trifacta

 

Theatre Sponsor

  • FiveTran
  • Pyramid Analytics
  • Starburst

 

2022 Partners

Media Partner

  • AIgents
  • Computer Weekly
  • Cloud Industry Forum
  • Computer Weekly

 

Media Partner

  • WeAreTechWomen
  • DataFloq
  • AI TIME JOURNAL

 

Media Partner

  • IOT Now
  • Digital Agency Network
  • DAN Institute
  • Trusted Computing Group

 

Media Partner

  • The EE
  • CIOInsights
  • Packt

 

Media Partner

  • CIO Applications Europe
  • Opinno

 

Media Partner

  • CIOReview
  • Sustainability Magazine

 

Media Partner

  • Top Business Tech
  • TechUK
  • EM360

 

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